IBD metabonomics predicts phenotype, disease course, and treatment response
Tài liệu tham khảo
Zhao, 2021, The burden of inflammatory bowel disease in Europe in 2020, J Crohn’s Colitis, 10.1093/ecco-jcc/jjab029
Chang, 2020, Pathophysiology of inflammatory bowel diseases, N Engl J Med, 383, 2652, 10.1056/NEJMra2002697
Kobayashi, 2020, Ulcerative colitis, Nat Rev Dis Prim, 6, 74, 10.1038/s41572-020-0205-x
Roda, 2020, Crohn's disease, Nat Rev Dis Prim, 6, 22, 10.1038/s41572-020-0156-2
Le Berre, 2020, Ulcerative colitis and Crohn's disease have similar burden and goals for treatment, Clin Gastroenterol Hepatol, 18, 14, 10.1016/j.cgh.2019.07.005
Nicholson, 1999, Metabonomics”: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data, Xenobiotica, 29, 1181, 10.1080/004982599238047
Lavelle, 2020, Gut microbiota-derived metabolites as key actors in inflammatory bowel disease, Nat Rev Gastroenterol Hepatol, 17, 223, 10.1038/s41575-019-0258-z
Van Malderen, 2020, Volatomics in inflammatory bowel disease and irritable bowel syndrome, EBioMedicine, 54, 10.1016/j.ebiom.2020.102725
Gallagher, 2021, Metabolomic analysis in inflammatory bowel disease: a systematic review, J Crohn's Colitis, 15, 813, 10.1093/ecco-jcc/jjaa227
Bauset, 2021, Metabolomics as a promising resource identifying potential biomarkers for inflammatory bowel disease, J Clin Med, 10, 622, 10.3390/jcm10040622
Franzosa, 2019, Gut microbiome structure and metabolic activity in inflammatory bowel disease, Nat Microbiol, 4, 293, 10.1038/s41564-018-0306-4
Lee, 2017, Oral versus intravenous iron replacement therapy distinctly alters the gut microbiota and metabolome in patients with IBD, Gut, 66, 863, 10.1136/gutjnl-2015-309940
Santoru, 2017, Cross sectional evaluation of the gut-microbiome metabolome axis in an Italian cohort of IBD patients, Sci Rep, 7, 9523, 10.1038/s41598-017-10034-5
Bjerrum, 2015, Metabonomics of human fecal extracts characterize ulcerative colitis, Crohn's disease and healthy individuals, Metabolomics, 11, 122, 10.1007/s11306-014-0677-3
Guan, 2020, UPLC-QTOF-MS-based plasma lipidomic profiling reveals biomarkers for inflammatory bowel disease diagnosis, J Proteome Res, 19, 600, 10.1021/acs.jproteome.9b00440
Manfredi, 2019, Integrated serum proteins and fatty acids analysis for putative biomarker discovery in inflammatory bowel disease, J Proteom, 195, 138, 10.1016/j.jprot.2018.10.017
Jansson, 2009, Metabolomics reveals metabolic biomarkers of Crohn's disease, PLoS One, 4, e6386, 10.1371/journal.pone.0006386
Bezabeh, 2001, The use of 1H magnetic resonance spectroscopy in inflammatory bowel diseases: distinguishing ulcerative colitis from Crohn's disease, Am J Gastroenterol, 96, 442, 10.1111/j.1572-0241.2001.03523.x
Bjerrum, 2010, Metabonomics in ulcerative colitis: diagnostics, biomarker identification, and insight into the pathophysiology, J Proteome Res, 9, 954, 10.1021/pr9008223
Diab, 2019, Mucosal metabolomic profiling and pathway analysis reveal the metabolic signature of ulcerative colitis, Metabolites, 9, 291, 10.3390/metabo9120291
Diab, 2019, Lipidomics in ulcerative colitis reveal alteration in mucosal lipid composition associated with the disease state, Inflamm Bowel Dis, 25, 1780, 10.1093/ibd/izz098
Borren, 2020, Multi-"-omics" profiling in patients with quiescent inflammatory bowel disease identifies biomarkers predicting relapse, Inflamm Bowel Dis, 26, 1524, 10.1093/ibd/izaa183
Ding, 2020, Metabonomics and the gut microbiome associated with primary response to anti-TNF therapy in Crohn's disease, J Crohn's Colitis, 14, 1090, 10.1093/ecco-jcc/jjaa039
Paramsothy, 2019, Specific bacteria and metabolites associated with response to fecal microbiota transplantation in patients with ulcerative colitis, Gastroenterology, 156, 1440, 10.1053/j.gastro.2018.12.001
Panner Selvam, 2021, Proteomics and metabolomics-current and future perspectives in clinical andrology, Andrologia, 53, e13711, 10.1111/and.13711
Wishart, 2007, HMDB: the human metabolome database, Nucleic Acids Res, 35, D521, 10.1093/nar/gkl923
Bjerrum, 2008, Technology insight: metabonomics in gastroenterology-basic principles and potential clinical applications, Nat Clin Pract Gastroenterol Hepatol, 5, 332, 10.1038/ncpgasthep1125
Shi, 2013, Gallic acid intake induces alterations to systems metabolism in rats, J Proteome Res, 12, 991, 10.1021/pr301041k
Wang, 2003, Spectral editing and pattern recognition methods applied to high-resolution magic-angle spinning 1H nuclear magnetic resonance spectroscopy of liver tissues, Anal Biochem, 323, 26, 10.1016/j.ab.2003.07.026
Wang, 2005, Biochemical characterization of rat intestine development using high-resolution magic-angle-spinning 1H NMR spectroscopy and multivariate data analysis, J Proteome Res, 4, 1324, 10.1021/pr050032r
Theodoridis, 2008, LC-MS-based methodology for global metabolite profiling in metabonomics/metabolomics, TrAC Trends Anal Chem, 27, 251, 10.1016/j.trac.2008.01.008
Lin, 2019, Alterations of bile acids and gut microbiota in obesity induced by high fat diet in rat model, J Agric Food Chem, 67, 3624, 10.1021/acs.jafc.9b00249
Wang, 2017, Simultaneous quantification of amino metabolites in multiple metabolic pathways using ultra-high performance liquid chromatography with tandem-mass spectrometry, Sci Rep, 7, 1423, 10.1038/s41598-017-01435-7
Courant, 2014, Basics of mass spectrometry based metabolomics, Proteomics, 14, 2369, 10.1002/pmic.201400255
Zhou, 2020, Development of a high-coverage metabolome relative quantitative method for large-scale sample analysis, Anal Chim Acta, 1109, 44, 10.1016/j.aca.2020.02.049
Gathungu, 2020, The integration of LC-MS and NMR for the analysis of low molecular weight trace analytes in complex matrices, Mass Spectrom Rev, 39, 35, 10.1002/mas.21575
Bylesjö, 2015, Extracting meaningful information from metabonomic data using multivariate statistics, Methods Mol Biol, 1277, 137, 10.1007/978-1-4939-2377-9_11
Bjerrum, 2015, Metabonomics: analytical techniques and associated chemometrics at a glance, Methods Mol Biol, 1277, 1, 10.1007/978-1-4939-2377-9_1
Sharma, 2010, Similarity in the metabolic profile in macroscopically involved and un-involved colonic mucosa in patients with inflammatory bowel disease: an in vitro proton (1H) MR spectroscopy study, Magn Reson Imaging, 28, 1022, 10.1016/j.mri.2010.03.039
Rantalainen, 2015, Integrative transcriptomic and metabonomic molecular profiling of colonic mucosal biopsies indicates a unique molecular phenotype for ulcerative colitis, J Proteome Res, 14, 479, 10.1021/pr500699h
Bjerrum, 2014, Integration of transcriptomics and metabonomics: improving diagnostics, biomarker identification and phenotyping in ulcerative colitis, Metabolomics, 10, 280, 10.1007/s11306-013-0580-3
Ehehalt, 2004, Phosphatidylcholine and lysophosphatidylcholine in intestinal mucus of ulcerative colitis patients. A quantitative approach by nanoElectrospray-tandem mass spectrometry, Scand J Gastroenterol, 39, 737, 10.1080/00365520410006233
Karner, 2014, First multicenter study of modified release phosphatidylcholine “LT-02” in ulcerative colitis: a randomized, placebo-controlled trial in mesalazine-refractory courses, Am J Gastroenterol, 109, 1041, 10.1038/ajg.2014.104
Dal Buono, 2020, Histological healing: should it be considered as a new outcome for ulcerative colitis?, Expert Opin Biol Ther, 20, 407, 10.1080/14712598.2020.1701652
Bjerrum, 2019, Metabonomics in gastroenterology and hepatology, Int J Mol Sci, 20, 3638, 10.3390/ijms20153638
Williams, 2012, Serum metabolic profiling in inflammatory bowel disease, Dig Dis Sci, 57, 2157, 10.1007/s10620-012-2127-2
Walmsley, 1998, A simple clinical colitis activity index, Gut, 43, 29, 10.1136/gut.43.1.29
Harvey, 1980, A simple index of Crohn's-disease activity, Lancet, 1, 514, 10.1016/S0140-6736(80)92767-1
Schicho, 2012, Quantitative metabolomic profiling of serum, plasma, and urine by (1)H NMR spectroscopy discriminates between patients with inflammatory bowel disease and healthy individuals, J Proteome Res, 11, 3344, 10.1021/pr300139q
Zhang, 2013, 1H NMR-based spectroscopy detects metabolic alterations in serum of patients with early-stage ulcerative colitis, Biochem Biophys Res Commun, 433, 547, 10.1016/j.bbrc.2013.03.012
Dawiskiba, 2014, Serum and urine metabolomic fingerprinting in diagnostics of inflammatory bowel diseases, World J Gastroenterol, 20, 163, 10.3748/wjg.v20.i1.163
Fathi, 2014, 1H NMR based metabolic profiling in Crohn's disease by random forest methodology, Magn Reson Chem, 52, 370, 10.1002/mrc.4074
Bjerrum, 2017, Metabonomics uncovers a reversible proatherogenic lipid profile during infliximab therapy of inflammatory bowel disease, BMC Med, 15, 184, 10.1186/s12916-017-0949-7
Popa, 2007, The role of TNF-alpha in chronic inflammatory conditions, intermediary metabolism, and cardiovascular risk, J Lipid Res, 48, 751, 10.1194/jlr.R600021-JLR200
Kristensen, 2014, Inflammatory bowel disease is associated with an increased risk of hospitalization for heart failure: a Danish nationwide cohort study, Circ Heart Fail, 7, 717, 10.1161/CIRCHEARTFAILURE.114.001152
Biondi, 2020, Cardiovascular risk in individuals with inflammatory bowel disease, Clin Exp Gastroenterol, 13, 107, 10.2147/CEG.S243478
Sun, 2019, Combined signature of the fecal microbiome and plasma metabolome in patients with ulcerative colitis, Med Sci Monit, 25, 3303, 10.12659/MSM.916009
Syme, 2016, Glycerophosphocholine metabolites and cardiovascular disease risk factors in adolescents: a cohort study, Circulation, 134, 1629, 10.1161/CIRCULATIONAHA.116.022993
Roncal, 2019, Trimethylamine-N-oxide (TMAO) predicts cardiovascular mortality in peripheral artery disease, Sci Rep, 9, 15580, 10.1038/s41598-019-52082-z
van Gennep, 2021, Work productivity loss is determined by fatigue and reduced quality of life in employed inflammatory bowel disease patients, Eur J Gastroenterol Hepatol, 10.1097/MEG.0000000000002178
Borren, 2019, Fatigue in IBD: epidemiology, pathophysiology and management, Nat Rev Gastroenterol Hepatol, 16, 247, 10.1038/s41575-018-0091-9
Horta, 2021, Analysis of the association between fatigue and the plasma lipidomic profile of inflammatory bowel disease patients, J Proteome Res, 20, 381, 10.1021/acs.jproteome.0c00462
Borren, 2021, Alterations in fecal microbiomes and serum metabolomes of fatigued patients with quiescent inflammatory bowel diseases, Clin Gastroenterol Hepatol, 19, 519, 10.1016/j.cgh.2020.03.013
Jenkins, 2016, Influence of tryptophan and serotonin on mood and cognition with a possible role of the gut-brain axis, Nutrients, 8, 56, 10.3390/nu8010056
Baranyi, 2016, Branched-chain amino acids as new biomarkers of major depression - a novel neurobiology of mood disorder, PLoS One, 11, 10.1371/journal.pone.0160542
Hisamatsu, 2015, Decreased plasma histidine level predicts risk of relapse in patients with ulcerative colitis in remission, PLoS One, 10, 10.1371/journal.pone.0140716
Probert, 2018, Plasma nuclear magnetic resonance metabolomics discriminates between high and low endoscopic activity and predicts progression in a prospective cohort of patients with ulcerative colitis, J Crohn's Colitis, 12, 1326, 10.1093/ecco-jcc/jjy101
Kohashi, 2014, A novel gas chromatography mass spectrometry-based serum diagnostic and assessment approach to ulcerative colitis, J Crohns Colitis, 8, 1010, 10.1016/j.crohns.2014.01.024
Duboc, 2013, Connecting dysbiosis, bile-acid dysmetabolism and gut inflammation in inflammatory bowel diseases, Gut, 62, 531, 10.1136/gutjnl-2012-302578
Weng, 2019, Correlation of diet, microbiota and metabolite networks in inflammatory bowel disease, J Dig Dis, 20, 447, 10.1111/1751-2980.12795
Aden, 2019, Metabolic functions of gut microbes associate with efficacy of tumor necrosis factor antagonists in patients with inflammatory bowel siseases, Gastroenterology, 157, 1279, 10.1053/j.gastro.2019.07.025
Moayyedi, 2015, Fecal microbiota transplantation induces remission in patients with active ulcerative colitis in a randomized controlled trial, Gastroenterology, 149, 102, 10.1053/j.gastro.2015.04.001
Paramsothy, 2017, Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: a randomised placebo-controlled trial, Lancet, 389, 1218, 10.1016/S0140-6736(17)30182-4
Costello, 2019, Effect of fecal microbiota transplantation on 8-week remission in patients with ulcerative colitis, JAMA, 321, 156, 10.1001/jama.2018.20046
Nusbaum, 2018, Gut microbial and metabolomic profiles after fecal microbiota transplantation in pediatric ulcerative colitis patients, FEMS Microbiol Ecol, 94, fiy133, 10.1093/femsec/fiy133